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Скачать или смотреть Precise Detection of T-Cell Receptors Using RNAseq With Unique Molecular Indexing

  • Labroots
  • 2018-10-24
  • 2265
Precise Detection of T-Cell Receptors Using RNAseq With Unique Molecular Indexing
Precise Detection of T-Cell Receptors Using RNAseq With Unique Molecular IndexingQIAGENPACE/CME CreditsT-cell clonotypingSABiosciencesUMIsCDR1CDR2Unique Molecular Indicesnucleic acid analysisCancer Research & Oncology 2018
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Описание к видео Precise Detection of T-Cell Receptors Using RNAseq With Unique Molecular Indexing

Presented At:
Cancer Research & Oncology 2018

Presented By:
Samuel Rulli, PhD - Senior Global Product Manager, RNA Profiling , QIAGEN

Speaker Biography:
Samuel Rulli is a Senior Global Product Manager for the QIAseq RNA Profiling Technologies at QIAGEN. Dr. Rulli received his Ph.D. in 2002 from Tulane University studying the gastric proton pump and did post-doctoral research at Johns Hopkins University and the National Cancer Institute in Frederick, MD. He joined SABiosciences - now a part of QIAGEN - in 2007 as an R&D Scientist in qPCR applications and moved to a Global Product Manager role in 2014. Trained as a molecular biologist, Dr. Rulli has worked on different assay detection technologies for gene expression and nucleic acid analysis.

Webinar:
Precise Detection of T-Cell Receptors Using RNAseq With Unique Molecular Indexing

Webinar Abstract:
Understanding the immune repertoire is an important aspect of immuno-oncology research, which can be used to gather insights into the function and overall status of the immune system. We have developed a simple and straightforward workflow with an RNA-seq panel, which uses Unique Molecular Indices (UMIs), and a data analysis package to characterize the alpha, beta, gamma and delta chains of the human or mouse T-cell receptors, including the CDR1, CDR2 and CDR3 regions. In this webinar, we will discuss both performance and application data for T-cell receptor sequencing and how a complete workflow including UMIs and UMI-enabled software helps increase the overall confidence in the final data analysis.

Learning Objectives:

1. Understand the biology of T-cells & T-cell receptors
2. Identify different methods of T-cell clonotyping
3. Learn how unique molecular indexing is being used in NGS applications

Earn PACE/CME Credits:
1. Make sure you’re a registered member of LabRoots (https://www.labroots.com/virtual-even...)
2. Watch the webinar on YouTube above or on the LabRoots Website (https://www.labroots.com/virtual-even...)
3. Click Here to get your PACE (Expiration date – October 10, 2020 06:00 AM) – https://www.labroots.com/credit/pace-...

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